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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Multi-Swarm Algorithm for Extreme Learning Machine Optimization
Nebojša Bačanin, Cătălin Stoean, Miodrag Živković, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4204-4204
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Nebojša Bačanin, Cătălin Stoean, Miodrag Živković, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1434-1434
Open Access | Times Cited: 75
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation
Cătălin Stoean, Miodrag Živković, Aleksandra Bozovic, et al.
Axioms (2023) Vol. 12, Iss. 3, pp. 266-266
Open Access | Times Cited: 58
The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate
Luka Jovanovic, Gordana Jovanović, Mirjana Perišić, et al.
Atmosphere (2023) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 55
Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations
Tamara Živković, Boško Nikolić, Vladimir Šimić, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110659-110659
Closed Access | Times Cited: 40
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting
M. Pavlov, Luka Jovanovic, Nebojša Bačanin, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 29
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrović, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1795-e1795
Open Access | Times Cited: 23
The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere
Nebojša Bačanin, Mirjana Perišić, Gordana Jovanović, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172195-172195
Closed Access | Times Cited: 14
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
Vule Mizdraković, Maja Kljajić, Miodrag Živković, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112026-112026
Open Access | Times Cited: 14
Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
Aleksandar Petrović, Robertas Damaševičius, Luka Jovanovic, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9181-9181
Open Access | Times Cited: 26
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0
Luka Jovanovic, Nebojša Bačanin, Miodrag Živković, et al.
Expert Systems (2023) Vol. 41, Iss. 2
Closed Access | Times Cited: 25
Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis
M. Todorovic, Nemanja Stanišić, Miodrag Živković, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110955-110955
Closed Access | Times Cited: 24
Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
Nebojša Bačanin, Miodrag Živković, Miloš Antonijević, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 7269-7304
Open Access | Times Cited: 23
Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets
Nebojša Bačanin, Cătălin Stoean, Dušan Marković, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76035-76075
Closed Access | Times Cited: 8
Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate
Gordana Jovanović, Mirjana Perišić, Nebojša Bačanin, et al.
Toxics (2023) Vol. 11, Iss. 4, pp. 394-394
Open Access | Times Cited: 19
MLP Enhanced CO2 Emission Prediction Model with LWSSA Nature Inspired Optimization
Agoub Abdulhafith Younes Mussa, Wagdi Khalifa
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model
Wenwen Cheng, Yù Chen, Xiaohui Liu
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder
Yixuan Liang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0314851-e0314851
Open Access
Adaboost Optimized by Sinh Cosh Algorithm for Prediction of Software Defects
Saramma John Villoth, John Philipose Villoth, Tamara Živković, et al.
Communications in computer and information science (2025), pp. 53-68
Closed Access
The XGBoost Approach Tuned by TLB Metaheuristics for Fraud Detection
Aleksandar Petrović, Miloš Antonijević, Ivana Strumberger, et al.
(2023), pp. 219-234
Open Access | Times Cited: 15
Forecasting Bitcoin Price by Tuned Long Short Term Memory Model
Aleksandar Petrović, Luka Jovanovic, Miodrag Živković, et al.
(2023), pp. 187-202
Open Access | Times Cited: 13
Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm
Nebojša Bačanin, Aleksandar Petrović, Miloš Antonijević, et al.
Communications in computer and information science (2023), pp. 104-121
Closed Access | Times Cited: 13
XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems
Miodrag Živković, Luka Jovanovic, Nebojša Bačanin, et al.
Algorithms for intelligent systems (2024), pp. 1-16
Closed Access | Times Cited: 4
Artificial Neural Network Tuning by Improved Sine Cosine Algorithm for HealthCare 4.0
Masa Gajevic, Nemanja Milutinovic, Jelena Krstovic, et al.
(2023), pp. 289-305
Open Access | Times Cited: 10
Gold Price Forecast Using Variational Mode Decomposition-Aided Long Short-Term Model Tuned by Modified Whale Optimization Algorithm
Sanja Golubovic, Aleksandar Petrović, Aleksandra Bozovic, et al.
Algorithms for intelligent systems (2024), pp. 69-83
Closed Access | Times Cited: 3
Comparison of Selected Numerical Methods for Solving Integro-Differential Equations with the Cauchy Kernel
Rafał Brociek, Mariusz Pleszczyński
Symmetry (2024) Vol. 16, Iss. 2, pp. 233-233
Open Access | Times Cited: 3
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